{"id":1759591,"url":"https://alion.io/job/n-ix-middle-aiml-engineer","title":"Middle AI/ML Engineer","company":{"id":13248,"name":"N-iX","domain":"n-ix.com","url":"https://alion.io/company/n-ix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":11,"ghost_share":0,"stale_share":0.727,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-16T13:43:02Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-18T13:15:53Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.\nIn this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.\nResponsibilities:\nDevelop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.\nBuild AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.\nApply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.\nCollaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.\nConduct experiments, evaluate model performance, and iterate on features and model approaches.\nIntegrate AI models into Foundry workflows to surface insights and support business processes.\nSupport model deployment and monitoring by following established team standards and best practices.\nWork closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.\nDocument model behavior, assumptions, and limitations to support transparency and compliance.\nStay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members\nRequirements:\n3+ years of experience in machine learning, AI engineering, or applied data science.\nStrong Python skills; 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